Éric Gaussier

Artificial Intelligence · 2005–2017

A researcher in the Science corpus: 7 papers; trusts 34 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it; #4,509 of 35,345 by trust here, #4,526 by citations
• Information Systems — 22 citations into it; #1,152 of 8,771 by trust here, #1,069 by citations
• Natural Language Processing — 17 citations into it
• Representation & Self-Supervised Learning — 14 citations into it; #1,390 of 3,145 by trust here, #982 by citations
• Knowledge Graphs & Representation — 13 citations into it
• Management Science and Operations Research — 13 citations into it; #3,986 of 11,946 by trust here, #2,472 by citations
• Evaluation & Benchmarks — 10 citations into it; #1,318 of 3,147 by trust here, #1,258 by citations
• Graph Learning — 10 citations into it; #272 of 693 by trust here, #188 by citations

Whom Éric Gaussier trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Thomas Hofmann
2. Wray L. Buntine
3. Daniel D. Lee
4. Antoine Bordes
5. Wei Xu
6. Geoffrey E. Hinton
7. Maximilian Nickel
8. Yoshua Bengio
9. Alexander S. Yeh
10. Alex Graves

Who trusts Éric Gaussier overall

1. Chris H. Q. Ding
2. Yu-Xiong Wang
3. Stéphane Clinchant
4. Suvrit Sra
5. Seyed Mehran Kazemi
6. Björn Schuller
7. Ramakrishnan Kannan
8. Derek O'Callaghan
9. Haifeng Liu
10. Tao Li

Papers from Éric Gaussier's perspective

Ordered by how strongly the researchers Éric Gaussier trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Complex Embeddings for Simple Link Prediction (2016) — 3,691 citations
• Relation between PLSA and NMF and implications (2005) — 336 citations
• A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation (2005) — 2,192 citations
• Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs (2017) — 83 citations
• An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition (2015) — 831 citations
• Knowledge Graph Completion via Complex Tensor Factorization (2017) — 331 citations
• Information Retrieval (2014) — 1,922 citations